機器學習於電子設計自動化之應用

- Understanding VLSI design flow, methodologies, and challenges - Learning algorithms and machine learning methods for VLSI design automation - Cultivating problem-finding and problem-solving capabilities

C/C++ programming, Data structures, Algorithms, Machine learning

無備註

Lecture notes will be available in class

Project & programming assignments: 70% Exam & written assignments: 30%

• Algorithms and Machine learning

  - Computational complexity - NP-completeness - Algorithmic paradigms - Machine learning paradigms

  講授：

  6

  實作：

  3

• Physical design

  - Floorplanning - Power network synthesis - Placement - Clock tree synthesis - Routing - Analog, mixed-signal, RF layout synthesis

  講授：

  15

  實作：

  3

• Logic design

  - Technology independent optimization (RTL synthesis + logic optimization) - Technology dependent optimization (technology mapping + timing optimization)

  講授：

  6

  實作：

  3

• Testing

  - Fault modeling - Fault simulation - Test pattern generation - Design-for-testability

  講授：

  6

• VLSI design flow, methodologies, and challenges

  - Introduction to VLSI design flow/methodologies/styles - Introduction to VLSI design automation tools - Semiconductor technology roadmap - CMOS technology

  講授：

  6

- EDA for IC Implementation, Circuit Design, and Process Technology (Electronic Design Automation for Integrated Circuits Handbook), CRC Press, 2nd Ed., 2016 - Electronic Design Automation: Synthesis, Verification, and Testing, Elsevier/Morgan Kaufmann, 2009 - Algorithms for VLSI Design Automation, John Wiley, 1999 - Synthesis and Optimization of Digital Circuits, McGraw-Hill, 1994

地點

教師未提供此項資料

時間

教師未提供此項資料

聯絡方式

教師未提供此項資料